Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms

OwnerNational Renewable Energy Laboratory (NREL) - view all

Update frequencyunknown

Last updatedabout 1 year ago

Format

Overview

This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop units simulated with PNNL's large office building model.

AHU Commercial Buildings EnergyPlus Fault Detection and Diagnostics HVAC VAV air conditioning air handling unit building building energy building performance cooling energy heating model raw data rooftop units simulation

Additional Information

KeyValue

dcat_issued2019-02-26T07:00:00Z

dcat_modified2021-10-15T15:07:50Z

dcat_publisher_nameLawrence Berkeley National Laboratory

guidhttps://data.openei.org/submissions/910

ib1_trust_framework[]

language

Files

PDF
Inventory of Data Sets for AFDD Evaluation.pdf
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ZIP
Data Sets for AFDD Evauluation of Building FDD Algorithms.zip
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